normalizeMatrix

Matrix with the objects to be normalized.

dataMatrix

1 = unity interval, 2 = normal distribution (sample variance), 3 = normal distribution (population variance). Any other value returns the matrix unchanged. Default: meansMatrix = 1 (unity interval).

normMethod

TRUE = rows are normalized, FALSE = columns are normalized. Default: byrow = TRUE (rows are normalized).

byrow

normalizeMatrix delivers a normalized matrix.

It contains soft clustering algorithms, in particular approaches derived from rough set theory: Lingras & West original rough k-means, Peters' refined rough k-means, and PI rough k-means. It also contains classic k-means and a corresponding illustrative demo.

normalizeMatrix: Matrix Normalization

Description

Usage

Arguments

Value